• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.2
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• pp.425-430
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• 2009

In medical area, lots of information has been digitized and the desire of personnel health became a matter of primary concern. To satisfy this desire it requires the high-speed handhold Healthcare monitering platform for building U-health system. This paper represents that the implementation of s3c6000 platform with s3c6400 CPU using up-to-date ARM11 technology. This parer also represents building of network system with wireless LAN based on 802.11 in order to transmit medical data. Transmitting and monitoring personnel medical data will be possible in any place with wireless LAN network.

• KIPS Transactions on Computer and Communication Systems
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• v.9 no.10
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• pp.239-246
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• 2020

In the medical field where artificial intelligence technology is introduced, research related to clinical decision support system(CDSS) in relation to diagnosis and prediction is actively being conducted. In particular, medical imaging-based disease diagnosis area applied AI technologies at various products. However, medical imaging data consists of inconsistent data, and it is a reality that it takes considerable time to prepare and use it for research. This paper describes a one-stop AI learning platform for converting to medical image standard R_CDM(Radiology Common Data Model) and supporting AI algorithm development research based on the dataset. To this, the focus is on linking with the existing CDM(common data model) and model the system, including the schema of the medical imaging standard model and report information for multi-center research based on DICOM(Digital Imaging and Communications in Medicine) tag information. And also, we show the execution results based on generated datasets through the AI learning platform. As a proposed platform, it is expected to be used for various image-based artificial intelligence researches.

• Annual Conference of KIPS
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• 2017.11a
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• pp.778-780
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• 2017

현재 메신저 플랫폼을 기반으로 한 챗봇 서비스의 등장으로 앱에서 봇으로 ICT 생태계는 급속히 진화를 전망하고 있다. 현재 챗봇은 클라우드 기반의 오픈소스 플랫폼으로 구축되어 있어 대부분이 서비스로 제공된다. 이를 활용해 개발자들이 어플리케이션을 손쉽게 개발할 수 있다. Facebook 메신저를 활용한 챗봇 기반 전문의료 상담 및 예약 플랫폼으로, 사용자는 병원 방문 없이 단순한 키워드, 혹은 문장검색만으로 병명을 알 수 있다. 또한, 병명과 관련하여 사용자 위치 주변의 병원을 손쉽게 검색 예약할 수 있다.

• Journal of Digital Contents Society
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• v.18 no.7
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• pp.1341-1346
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• 2017

In this paper, we designed the open service platform based on integrated type of individual customized service and intelligent information technology with individual's complex attributes and requests. First, the data collection phase is proceed quickly and accurately to repeat extraction, transformation and loading. The generated data from extraction-transformation-loading process module is stored in the distributed data system. The data analysis phase is generated a variety of patterns that used the analysis algorithm in the field. The data processing phase is used distributed parallel processing to improve performance. The data providing should operate independently on device-specific management platform. It provides a type of the Open API.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2006.05a
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• pp.386-389
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• 2006

At ubiquitous environment of the future, the platform that is mobile and suitable in such environment transmit and receive many data freely. In medical treatment field, medical device with advancement of the sensor and multimedia technique will develop as the household and hand-held device. So It will be developed as the health care device easily exchanging data to other devices and transmitting information of medical device to server. In this paper, currently the mobile platform based on the PXA255 such as a powerful microprocessor which connected the WLAN for guaranteeing a mobility and a speed transmits medical information to hospital server. It put an importance in providing the system for an efficient service.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.05a
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• pp.954-956
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• 2013

IOS/IEEE 11073 PHD 표준들은 u-헬스 측정기기와 u-헬스 게이트웨이간의 통신을 가능하게 하도록 설계되어 있다. 모바일 단말기를 데이터 취합을 위한 중계기로 활용하고 별도의 게이트웨이를 구성하여 헬스케어 의료기기를 연동하고 모니터링을 위한 인터페이스를 제공해 왔으나 스마트폰 애플리케이션 단계에서 IEEE 11073 플랫폼을 포함하여 헬스케어 의료기기를 활용하는 u-헬스케어 서비스를 제공하기에는 많은 제약이 있다. 이에 본 논문에서는 Android 4.0.x OS 스마트폰을 대상으로 Bluetooth HDP을 활용하여 u-헬스케어 시스템에서의 게이트웨이/서버 플랫폼 기능을 포함하는 헬스케어 의료기기의 모니터링 애플리케이션 시스템을 설계하였다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.453-456
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• 2016

Recently, IoT technologies attract much attenction in medical area. Previous medical IoT had focused mainly on chronological diseases or fitness for particular users. Contrarily, medical use of the IoT technologies is now extended for medical institutes and hospitals to care intensively in-house patients, which requires typically more strict and reliable data delivery and security, authentication and authorization. This study defines scenario of the medical IoT for the intensive care and proposes an architecture of the medical IoT services. We implement a testbed using commerical sensors and Arduino board together with a Web-based platform. Experiment results on the testbed show that our approach can be feasible for the medical system in terms of latency and accuracy in medical data delivery.

• Journal of Digital Contents Society
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• v.19 no.9
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• pp.1751-1758
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• 2018

An integrated medical information system that integrates systems consisting of different environments centered on hospital information systems should be provided as a system that prioritizes the improvement of the quality of medical services, customer satisfaction, and patient safety. The RBAC-based medical information system is granted the access right according to task type, role, and rules. Through this, it is possible to use SMS channel, medical reservation and cancellation, customized statistics, and CRM / EMR interworking service using multi-channel to enable communication service without help of counselor and reduce the default rate of reservation patient, Operational improvement services can be extended to medical staff, patients and their families, as well as expanding to important decisions for patients.

• Journal of Korea Multimedia Society
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• v.14 no.2
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• pp.295-306
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• 2011

The existing emergency medical systems are unable to obtain accurate clinical information, so most of the specialized first aid is being done within the hospital. In this paper, designed medical information transfer structure based on medical information standards HL7 for accurate first aid is proposed. The designed system can share clinical information and emergency medical information in terms of standard HL7 messages. Therefore, the correct first aid is available in steps taken by the hospital. In addition, the system of this paper has been implemented based on the OSGi service platform for the efficient integration with other health-related services.

• Proceedings of the Korea Contents Association Conference
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• 2016.05a
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• pp.9-10
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• 2016

본 논문에서는 의료기관에서 수진자의 검사정보를 검사기관과 1:1 계약이 아닌 다양한 검사기관으로 위탁 의뢰 할 수 있고, 검사의뢰나 검사결과 보고만을 하는 기존 검사관리 시스템과는 달리 검사결과 정보를 바탕으로 한 다양한 부가서비스를 제공할 수 있는 통합 검사관리 서비스 플랫폼을 제안한다. 본 논문에서 제안하는 서비스 플랫폼은 다양한 의료기관과 검사기관을 하나의 통합 검사관리 시스템에 연결, 병 의원 업무의 효율성 및 서비스 질 향상을 지원한다.